A response assessment on the implementation of senior high school TVL track through data mining technique

Abstract

This paper re-evaluates the accurateness of the students’ responses in the actual evaluation conducted in assessing the implementation of senior high school Technology Vocational Livelihood (TVL) track as basis to curricular intervention program done in some Senior High Schools in the Division of Surigao del Norte, Philippines. In this study, the use of data mining technique particularly the prediction was observed to test the accurateness of the responses as perceived by the 769 senior high school students. The use of the C4.5 algorithm depicted a 71% accuracy when applied in the evaluation dataset when performed using the 10-folds cross-validation scheme in WEKA software. The average accuracy percentage denotes that the findings, technologal philosophy formulated, and the proposed curricular instruction program from actual study is worthy of implementation. It is hoped that the study will contribute to the two major kinds of literature; data mining and in higher education mining.